timothy from the work-backwards-to-zero dept.
biolgeek writes "In recent years, HIV has been managed with a collection of therapies. However, the virus will likely evolve around these drugs, making it crucially important to get a better understanding of the virus itself. An important step in understanding the virus is to get a handle on its genetic blueprint. William Dampier of Drexler University is taking a novel approach to this research by crowdsourcing his problem. He is hosting a bioinformatics competition, which requires contestants to find markers in the HIV sequence that predict a change in the severity of the infection (as measured by viral load). So far the best entry comes from Fontanelles, an HIV research group, which has been able to predict a change in viral load with 66% accuracy."
"The algorithm to do that is extremely nasty. You might want to mug
someone with it."
-- M. Devine, Computer Science 340